Health Web Science

This book introduces the field of Health Web Science and presents methods for information gathering from written social media data. It explores the availability and utility of the personal medical information shared on social media platforms and determines ways to apply this largely untapped information source to healthcare systems and public health monitoring. Introducing an innovative concept for integrating social media data with clinical data, it addresses the crucial aspect of combining experiential data from social media with clinical evidence, and explores how the variety of available social media content can be analyzed and implemented. The book tackles a range of topics including social media's role in healthcare, the gathering of shared information, and the integration of clinical and social media data. Application examples of social media for health monitoring, along with its usage in patient treatment are also provided. The book also considers the ethical and legal issues of gathering and utilizing social media data, along with the risks and challenges that must be considered when integrating social media data into healthcare choices. With an increased interest internationally in E-Health, Health 2.0, Medicine 2.0 and the recent birth of the discipline of Web Science, this book will be a valuable resource for researchers and practitioners investigating this emerging topic.

Examines the impact of shared medical information on social media platforms and how it can be analyzed to benefit healthcare systems Differentiates between types of content and analyzes the methods in which each provides and receives medical information Introduces methods of analysis necessary to extract usable medical information and distinguish trends on social media platforms for healthcare purposes Details how to apply collected social media data to public health monitoring Considers the ethical, organizational and legal issues relating to the use of medical data gathered from social media

Autorentext

Dr. Kerstin Denecke is an expert in the field of medical informatics. She works as a professor and researcher at the Bern University of Applied Sciences, Switzerland. Her major research interests include artificial intelligence and (clinical) natural language processing in general and more specifically, information extraction, sentiment analysis and conversational agents. Her work concentrates on use cases in the healthcare domain. She completed a doctoral degree at the Technical University of Braunschweig, Germany. She is leading several projects in the field of natural language processing and artificial intelligence and co-chairs the working group on participatory health informatics and social media or the International Medical Informatics Association.

Inhalt

The Medical Web and Its Authors.- Applications of Social Media in Healthcare.- Objectives and Structure of the Book.- Types of Medical Social Media.- Excursus: Content and Language in Clinical Narratives.- Content and Language in Medical Social Media.- Text analytic-Enabled Healthcare Applications: Requirements and Architecture.- Information Extraction from Medical Social Media.- Relation Extraction.- Sentiment Analysis from Medical Texts.- Social Media for Health Monitoring.- Diversity-aware Search.- Implementation obstacles.- Ethics in Health Web Science.- Integrating Clinical and Social Media Data.- Concluding Remarks.- Glossary.